LAS VEGAS, NV --(Marketwired - April 19, 2016) - SAS GLOBAL FORUM - Long before the Internet of Things (IoT) became trendy, analytics leader SAS was probing data from sensors and other devices. SAS® Analytics for IoT is a new package of proven software products that applies SAS' core expertise of analyzing massive amounts of data to IoT connected sensors and devices.
SAS Analytics for IoT helps organizations interpret rapidly moving and accumulating data, and confidently make decisions based on that data. The resulting gains -- such as improved safety and reduced injuries or enhanced product quality -- translate into healthier profits.
For example, Finnish global industrial crane manufacturer Konecranes uses SAS to influence decisions made with sensor data. "The use of analytics supports our vision of knowing how millions of lifting devices and machine tools perform in real time," said Juha Pankakoski, Chief Digital Officer at Konecranes. "We use this knowledge around the clock to make operations safer and more productive. With SAS, Konecranes analyzes equipment and customer data plus usage and impact data. Combining big data with reliability analysis and simulations enhances our ability to make predictions. We've gone from being able to predict failures on a single piece of equipment with data history for five variables for a few minutes, to predicting maintenance needs and failures for our entire equipment fleet with hundreds of variables and a data history as far back as four years."
"For 40 years, SAS has uncovered meaningful patterns in what appears to be data noise," said Jason Mann, SAS Director of Product Management for Internet of Things. "We've done it by listening to our customers. Now they're telling us they're struggling to see value from IoT. By focusing our considerable capabilities toward this business challenge, we're making it easier for customers like Konecranes to extract meaning out of that data flood."
Other companies using SAS to analyze IoT sensor data include:
-
CPS Energy. Texas-based CPS Energy is building a flexible, sensor-dense power grid for San Antonio, and SAS analyzes its data all along the network - from the "edge" where the sensors generate the data to the database inside their network.
-
Geneia. By analyzing sensor data with SAS, Geneia-supported care teams can interpret contextual changes in a patient's condition, intervene earlier and possibly prevent further deterioration.
-
Navistar. The heavy truck, bus and military vehicle manufacturer uses SAS to maximize its OnCommand Connection (OCC) system which monitors vehicles in real time. OCC sensors continuously stream multidimensional data from customers' vehicles, including engine and fault codes. This capability allows Navistar to empathize with customers in ways that were impossible before.
-
Town of Cary, N.C. Using SAS analytics to monitor data received from its Aquastar water-meter-infrastructure system, the Town of Cary has transformed its customer service model from reactive to proactive, resulting in earlier detection and communication of unusual customer water patterns.
-
Western Digital. Production engineers at data-storage manufacturer Western Digital use SAS to identify possible failures early in the production process, then make timely decisions to avoid quality issues.